ASSAM Zorig

DJALAB ABDERAZAK - , RIDA AHMED

Contribution au diagnostic des machines asynchrones par l’analyse de flux de fuite

Khaled LORABI

Etude del'influence des conditions polluées Sur la tensi on de contournement d'un isol ateur en por celaineen utilisant la méthode ANOVA

les etudiants de genie electrique

expertise des sujets dans le cadre 1275

BOUCHELALLEG MERIEM , MERBATET SAIF EDDINE

Stratégies de compensation active sélectives et globale des courants harmoniques à base d’un filtre multi-variable

Mimoune Faris , Belhoute Belgassem

Commande et analyse fonctionnel d’un générateur photovoltaïque connecté au réseau via un filtre actif parallèle triphasé

Louafi boumedyen , Mansori toufik

Diagnostic des défauts au rotor dans la machine asynchrone à double stator

AMIR ALI , CHATRA ABDENNOUR

Contribution au diagnostic de la machine asynchrone par une méthode non invasive

BABECHE Yacine , BOURAS Samir

Diagnostic des machines électriques par la méthode des éléments finis

Khalil, Mihoubi

Conception d'une Machine Asynchrone à Haut Rendement Utilisant la Méthode des Eléments Finis

Osama, ABU IBAID

Diagnostic par estimation paramétrique de la MAS à cage d’écureuil Proposé et

Mohamed oulhocine, AIT MIHOUB

METHODE GLOBALE DE DIAGNOSTIC DES MACHINES ASYNCHRONES A CAGE D’ECUREUIL

Noreddin, MILOUDI

ANALYSE ELECTROMAGNETIQUE EN 2D D’UNE MACHINE ASYNCHRONE A ENCOCHES PROFONDES

ZEGHBA, Ahmed

NOUVELLE APPROCHE POUR LA CONCEPTION SOUS CONTRAINTES DES MACHINE A HAUT RENDEMENT - ANALYSE ELECTROMAGNETIQUE EN 2D -

BELAID, Ammar

DIAGNOSTIC DE LA MAS PAR LA METHODE D’IDENTIFICATION PARAMETRIQUE

12th International Conference on Systems and Controls (ICSC’2024)/

Citation

ASSAM Zorig , ,(2024-12-31), Enhanced the PQ of NI-Grid Connected to PV systems using a SAPF Controlled by the Predictive Controller”,12th International Conference on Systems and Controls (ICSC’2024)/,BATNA

La matière a pour objectif d’informer le futur licencié sur la nature des accidents électriques, les méthodes de secours des accidentés électriques et de lui donner les connaissances suffisantes pour lui permettre de dimensionner au mieux les dispositifs de protection du matériel et du personnel intervenant dans l’industrie et autres domaines d’utilisation de ces équipements.

Citation

ASSAMZorig , ,(2024-11-24); SECURITE ELECTRIQUE,UNIVERSITE OF MSILA,

This study presents a dual-stage grid-tied photovoltaic (PV) system designed to power a nonlinear load while simultaneously providing power factor correction on the AC mains using a shunt active power filter (SAPF). The system employs perturbation and observation control for maximum power point tracking (MPPT) from the PV generator, adapting to varying solar irradiance levels. On the grid side, a novel instantaneous active and reactive power (PQ) algorithm, utilizing a self-tuning filter (STF), extracts harmonic references even under non-ideal grid conditions. These references are used by an innovative predictive current control (PCC) strategy to generate the switching signals for a three-phase voltage source inverter (VSI). Additionally, a PI controller maintains the DC-link voltage of the SAPF at its reference value. The performance of the proposed system was evaluated under different conditions of grid harmonics, and unbalanced grid scenarios. Simulation findings indicate that the proposed PCC, coupled with the STF, performs effectively under these test conditions

Citation

ASSAM Zorig , ,(2024-11-03), Enhanced the PQ of NI-Grid Connected to PV systems using a SAPF Controlled by the Predictive Controller”,12th International Conference on Systems and Controls (ICSC’2024)/,BATNA

one installations to large-scale, grid-connected systems. When the nonlinear loads are connected to a grid-tied PV system, the power quality can deteriorate due to the active power supplied by the PV array, there’s a noticeable decline in the quality of power delivered to consumers. Its combination with the shunt active power filter (SAPF) enhances system efficiency. Consequently, this integrated system is adept at not only powering local loads but also at compensating for reactive power and filtering out harmonic currents from the main grid. The novelty of the work describes how an operation of a small scale PV system connected to the low voltage distribution system, and nonlinear load can be achieved, the investigation aims to analyze the system’s behavior and elucidate the advantages of employing various control algorithms. These proposed algorithms are designed to ensure a unity power factor for the utility grid while prioritizing high convergence speed and robustness against load power fluctuations across different levels of solar irradiation affecting the PV modules. The purpose of this work is to enhance the dynamic performance of the SAPF by cooperatively using a self-tuning filter (STF) based instantaneous active and reactive power method (PQ) with a novel predictive current control, enhance the system resilience, ensure optimal management of the total active power between the PV system, the electrical network and the non-linear load by integrating the functionalities of the SAPF under different levels of solar irradiation and maintain the DC-link capacitor voltage constant. Methods. A novel predictive current controller is designed to generate the switching signals piloted the three phase source voltage inverter, also a novel algorithm of instantaneous active and reactive power is developed, based on STF, to extract accurately the harmonic reference under non ideal grid voltage, also the perturb and observe algorithm is used to extract, under step change of solar irradiation, the maximum power point tracking of the PV module and the PI controller is used to maintain constant the DC-link capacitor voltage of the SAPF. Results. The efficacy of the proposed system is primarily centered on the grid side, and the performance evaluation of the control system is conducted using the STF based PQ algorithm and predictive current control. In addition, comprehensive testing encompasses all modes of operation, including scenarios involving distorted voltage sources, step changes in solar radiation, and variations in nonlinear loads. Results highlight superior performance in both transient and stable states, affirming the robustness and effectiveness of the proposed controllers. Practical value. The total harmonic distortion value of the grid current for all tests respects the IEEE Standard 519-1992. References 21, tables 7, figures 25.

Citation

ASSAM Zorig , , (2024-10-18), Improving the efficiency of a non-ideal grid coupled to a photovoltaic system with a shunt active power filter using a self-tuning filter and a predictive current controller, Electrical Engineering and Electromechanics, Vol:6, Issue:1, pages:33-43, National Technical University "Kharkiv Polytechnic Institute

insulators with High voltage are the key components in energy transmission systems wich may be affected by pollution. In this paper, the performance of a cap and pin insulator is investigated with the objective of predicting the propagation of an AC surface arc on contaminated insulators in the presence of a non- uniform electric field. To assess the performance of the insulator, the electric field simulation is carried out by using the finite element method. Research results show that non-uniform contamination had the worst electric field profile. This work can provide a useful tool for the design and maintenance of cap and pin insulators.

Citation

Khaled BELHOUCHET , ASSAM Zorig , Lyamine OUCHEN, , (2024-09-26), Performance Evaluation of cap and pin insulator under pollution conditions using Finite element method (FEM), PRZEGLĄD ELEKTROTECHNICZNY, Vol:2024, Issue:9, pages:142-145, Wydawnictwo SIGMA - N O T Sp. z o.o.

This study investigates the flashover voltage on high voltage insulators in polluted environments, employing a combination of experimental and theoretical approaches. Utilizing Analysis of Variance (ANOVA) and the Finite Element Method (FEM), the research aims to offer a thorough comprehension of the phenomenon. The experimental aspect of the study involves subjecting insulators to polluted environments, replicating real-world scenarios, and measuring the resulting flashover voltages. This experimental study focuses on investigating flashover pollution, where artificial pollution is introduced into an experimental model. An observational approach is employed to assess the impact of conductivity and pollution distribution on the 1512 L cap and pin insulator, as well as its proposed experimental model. Complementing the experimental approach, the theoretical aspect of the study employs the FEM method to simulate and model the insulator's behaviour under pollution. This computational technique enables a detailed analysis of the electrical field distribution, surface potential, and stress repartition across the surface of the insulator. Simulations further explore the impact of pollution on flashover voltage and leakage current. The FEM results are then compared with experimental findings to validate the model's accuracy and reliability. By analyzing the collected data, the ANOVA technique is applied to identify significant differences in flashover voltage under diverse pollution levels. This statistical approach allows for the determination of the most influential factors affecting insulator performance. This research offers valuable insights into the influence of flashover voltage on high-voltage insulators in polluted environments, contributing to the development of more robust and efficient insulation systems. The combination of ANOVA and FEM methods provides a robust framework for understanding and predicting insulator performance, ultimately benefiting the power industry and promoting energy sustainability.

Citation

Khaled BELHOUCHET , ISMAIL Ghadbane , ABDERRAHIM Zemmit , ASSAM Zorig , Lyamine Ouchen, , (2024-08-13), Measurement and evaluation of the flashover voltage on polluted cap and pin insulator: An experimental and theoretical study, Electric Power Systems Research, Vol:236, Issue:110979, pages:14, Elsevier

The distribution of the electric field plays a crucial role in evaluating the effectiveness of composite insulators. This research presents an innovative approach for optimizing the design of corona rings, aiming to decrease the electric field intensity in critical areas to satisfactory levels. The investigation examined the correlation among corona ring design variables and the intensity of the electric field close to the energized-end fitting in a 220 kV composite insulator equipped with a corona ring. Using design of experiment methods, the impact of three corona ring design parameters – corona ring diameter (R), ring tube diameter (Dr), and corona ring height (H) – was assessed. A novel nonlinear mathematical objective function was formulated, connecting the electric field magnitude to the structural parameters of the corona ring. Subsequently, the Bat algorithm, a bio-inspired optimization technique, was employed to enhance the initial corona ring design and mitigate the electric field intensity. Finally, the Finite Element Method (FEM) was utilized to simulate and evaluate the voltage distribution and electric field stress. The optimization process resulted in a substantial decrease in the highest electric field magnitude, by 58.6 % compared to the insulator with the threshold value, and 75 % when devoid of a corona ring. Additionally, the research highlighted the significant influence of ring tube thickness on the distribution of the electric field. The combination of experimental design and the Bat algorithm proved to be a powerful tool for optimizing the design of corona rings on transmission line composite insulators, providing precise solutions for optimizing corona discharge problems and enhancing the reliability of power transmission systems.

Citation

Khaled BELHOUCHET , ABDERRAHIM Zemmit , ASSAM Zorig , Abdelhafid Bayadi, Lyamine Ouchen, , (2024-07-21), A novel application of artificial intelligence technology for outdoor high-voltage composite insulator, Measurement, Vol:238, Issue:115372, pages:10, Elsevier

12th INTERNATIONAL CONFERENCE ON APPLIED ANALYSIS AND MATHEMATICAL MODELING

Citation

ASSAM Zorig , ,(2024-07-19), Diagnostic of Dual stator winding Induction machine (DSWIM) Based on Mechanical Signatures of Stray Magnetic Flux,12th INTERNATIONAL CONFERENCE ON APPLIED ANALYSIS AND MATHEMATICAL MODELING,Turkey

Abstract: This paper proposes a double stage grid connected photovoltaic system for feeding a nonlinear load by using a shunt active power filter (APF), and ensuring in the same time a power factor correction at the Ac main, on the grid side, a perturbation and observation control is used to extract the maximum power point tracking (MPPT) from the photovoltaique generator (GPV) under changing of solar irradiance. On the other hand, an improved algorithm of instantaneous active and reactive power (PQ) is applied, based on high selective self tuning filter (STF), to extract the harmonic reference used to generate the switching signal of APF to generate the filter current via a hysteresis current control and injected them in the common coupling point at the Ac main network. In addition, it can inject excess active power generated into grid, thereby improving the power factor of the public distribution network. The proposed system and its designed control scheme are examined in response to variations in load and solar irradiation and under unbalanced grid voltage. The simulation outcomes demonstrate that the proposed system facilitates adaptable adjustment of real power exchanges with the grid, maintaining a high power factor during operation. Additionally, the total harmonic distortion (THD) of the grid current remains below 5%, aligning with the IEEE-519 standard

Citation

ASSAM Zorig , ,(2024-05-12), Improving the Power Quality of the Grid-Connected PV System Using a High Selective Self Tuning Filter,2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC) Publisher: IEEE / Setif, Algeria,Setif, Algeria.

In this work, a study on a cap and pin insulator (1512L) is proposed to evaluate the distribution of the electric field and the potential along the insulator under different conditions. A computational and experimental study for the examination of a real insulators model is assessed. Tests on contaminated insulators in the laboratory under the suggested conditions have been carried out. Finite element methods (FEM) have been employed in the numerical analysis to assess the electrical properties of the insulator under the suggested contamination profiles, including potential and electric field. The study proposed in this paper provides an effective and practical tool for analysis and enhance the dielectric properties of the studied insulator.

Citation

ABDERRAHIM Zemmit , Bureau de la stratégie de numérisation , Khaled BELHOUCHET , Bureau de la stratégie de numérisation , ASSAM Zorig , , (2024-04-23), Experimental investigation on dielectric properties of 1512L insulator using finite element analysis (FEM), Diagnostyka, Vol:25, Issue:2, pages:1-9, Polish Society of Technical Diagnostics

2nd International Conference on Scientific and Innovative Studies ICSIS 2024

Citation

ASSAM Zorig , ,(2024-04-18), Neural Network Application for predicting composite Insulator Flashover voltage under Contaminated conditions,2nd International Conference on Scientific and Innovative Studies ICSIS 2024,Turkey

2nd International Conference on Scientific and Innovative Studies ICSIS 2024

Citation

ASSAM Zorig , ,(2024-04-18), Maximizing Efficiency of Independent Solar Power Systems via Particle Swarm Optimization (PSO),2nd International Conference on Scientific and Innovative Studies ICSIS 2024,Turkey

has participated in 4th International Artificial Intelligence and Data Science Congress March 14 – 15 in 2024

Citation

ASSAM Zorig , ,(2024-03-14), Application of Artificial Intelligence and Response Surface Methodology (RSM) for predicting AC flashover voltages of contaminated composite insulator,has participated in 4th International Artificial Intelligence and Data Science Congress March 14 – 15 in 2024,Turkey

4th International Artificial Intelligence and Data Science Congress March 14 – 15 in 2024 at İzmir/Turkey

Citation

ASSAM Zorig , ,(2024-03-14), Optimizing corona Ring Design of Polymeric Insulators for improved Electric Field by using FEM and a Grey Wolf Optimization Method,4th International Artificial Intelligence and Data Science Congress March 14 – 15 in 2024 at İzmir/Turkey,Turkey

4th International Conference on Innovative Academic Studies March 12 – 13 in 2024 at Konya/Turkey

Citation

ASSAM Zorig , ,(2024-03-12), Effect of TiO2 Coatings on the Electric Field Distribution of Outdoor HighVoltage Porcelain Insulators using AFM and FEM,4th International Conference on Innovative Academic Studies March 12 – 13 in 2024 at Konya/Turkey,Turkey

4th International Conference on Innovative Academic Studies March 12 – 13 in 2024 at Konya/Turkey.

Citation

ASSAM Zorig , ,(2024-03-12), tudy and analysis of the influence of the grading ring on the performance of a composite insulator using the response surface methodology,4th International Conference on Innovative Academic Studies March 12 – 13 in 2024 at Konya/Turkey.,Turkey

In this paper, a nonlinear adaptive speed controller for a permanent magnet synchronous motor (PMSM) based on a newly developed adaptive backstepping approach is presented. The exact, input-output feedback linearization control law is first introduced without any uncertainties in the system. However, in real applications, the parameter uncertainties such as the stator resistance and the rotor flux linquage and load torque disturbance have to be considered. In this case, the exact inputoutput feedback linearization approach is not very effective, because it is based on the exact cancellation of the nonlinearity. To compensate the uncertainties and the load torque disturbance, the input-output feedback linearization approach is first used to compensate the nonlinearities in the nominal system. Then, nonlinear adaptive backstepping control law and parameter uncertainties, and load torque disturbance adaptation laws, are derived systematically by using adaptive backstepping technique. The simulation results clearly show that the proposed adaptive scheme can track the speed references the signal generated by a reference model, successfully, and that scheme is robust to the parameter uncertainties and load torque disturbance.

Citation

ASSAM Zorig , ,(2023-12-25), Nonlinear Adaptive Backstepping Control of Permanent Magnet Synchronous Motor,3rd International Conference on Scientific and Academic Research on 25-26 December in 2023 at Konya/Turkey.,Turky

ABSTRACT

Citation

ASSAM Zorig , ,(2023-12-16), Control and analysis of the behavior of the PV system connected to the AC network via an APF under various levels of solar radiations,The 1st national conference on emergent technologies in electrical engineering (NCETEE'23) December 16-17, 2023, 2023, Setif, Algeria.,Setif, Algeria.

ABSTRACT

Citation

ASSAM Zorig , ,(2023-11-23), Reliable Detection Method For Rotor Broken Bars Fault In Induction Machine,53rd ISTANBUL International Conference on “Advances in Science, Engineering & Technology” (IASET-23),Istanbul (Turkiye)

This paper is concerned with two popular and powerful methods in electrical drive applications: filed-oriented control (FOC) and space vector modulation (SVM). The proposed FOC-SVM method is incorporated with a predictive current control (PCC) based technique. The suggested method estimates the desirable electrical torque to track mechanical torque at a fixed speed operation of permanent magnet synchronous motor (PMSM). The estimated torque is used to calculate the reference current based on FOC. In order to improve the performance of the traditional SVM, a PCC method is established as a switching pattern modifier. Therefore, PCC based SVM is employed to further minimize the torque ripple and transient response to step variations of the torque command. The proposed method has been verified with MATLAB-SIMULINK model. Simulation results confirm the ability of this technique in torque and speed ripples and fixing switching frequency, simultaneously. However it is sensitive to parameter changes.

Citation

ASSAM Zorig , ,(2023-11-04), Predictive Field-Oriented Control of Permanent Magnet Synchronous Motor with Space Vector Modulation Technique,2ndInternational Conference on Contemporary Academic Research,Konya, Turkey

Fast estimation is a critical feature of the proposed modeling approach as a “forward” fast solver that has a key role in solving the “inverse” problem involved in crack sizing, especially for real-time applications. To this end, two different inversion methods have been proposed to estimate the crack depth. The first one uses an interpolation model of the 3D direct model simulation data. The second approach is based on artificial neural networks (ANN). In this article, the rotating uniform eddy current (RUEC) probe is used to detect the normal magnetic component Bz which is defined as the characteristic signal for reconstructing the crack length and depth concurrently. Using the first approach, The Bz characteristic 3D surface is presented, and this can be modeled by a fitted polynomial interpolation equation. Thus, the crack depth can be inverted using this equation referring to the experimental or simulated Bz signal and the crack length. The ANN is outlined to determine the crack depth based on the simulated Bz signature. The move from the first inversion method to the second was flexible and useful, in which the interpolation model is used as a defect signal generator for fast building of a large and efficient database for ANN training. Both of the proposed methods proved the objectivity and accuracy of the inversion results and offered more robust engineering support for automated NDT, reducing production time and increasing productivity.

Citation

ASSAM Zorig , , (2023-09-19), Fast and efficient inversion methods for crack sizing using Bz magnetic signature, International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, Vol:37, Issue:2, pages:e3174, John Wiley & Sons, Inc.

his article deals with inter-turn short-circuit fault detection in stator windings of squirrel cage induction machines. The main aim is to perform harmonic analysis of different electrical signatures namely the stator phase current, external magnetic flux and electromagnetic torque at different levels of mechanical load in order to develop an efficient fault detection approach of this kind of defect in induction machines. The proposed approach is based on the analysis of saturation related harmonics at rank , where is an odd number, and magnetomotive force (MMF)-related harmonics at rank , with in stator phase current and stray flux and harmonics at rank in electromagnetic torque. The amplitudes of these last harmonics in healthy condition are compared with 3% power supply unbalance, 16.6% (40 turns) and 33% (80 turns) levels of inter-turn short-circuit fault in frequency range from 0 Hz to 2500 Hz under different levels of mechanical load. Besides, the stand-still test is also investigated in this work. Simulation study is carried out based on 2.2kW squirrel cage IM using finite element method (FEM). This method provides accurate and inexpensive tool for evaluating the performance of induction machine under healthy and faulty conditions. The obtained results demonstrate that the stray flux is the most sensitive signature to the stator winding inter-turn short-circuit fault, and it is robust against the power supply unbalance in comparison with both stator current and electromagnetic torque.

Citation

ASSAM Zorig , , (2022), A comparative study for stator winding inter-turn short-circuit fault detection based on harmonic analysis of induction machine signatures, Mathematics and Computers in Simulation, Vol:106, Issue:2, pages:273-288, ELSERIER

Frequency domain and step by step in time domain finite element analyses of the electromagnetic field in a squirrel cage inductor motor are considered for different 2D and 3D models of a rotor bar breakage process and of the end of this process - the broken bar fault.The faulty operation states of a rotor squirrel cage are correctly reflected only by the 3D models. However, there are cases when 2D approximate models, much more advantageous related the computation time and memory requirements can offer satisfactory results. Comparing 2D and 3D results, this paper shows in case of a rotor bar breakage when the option for a 2D model instead the 3D model can be accepted.

Citation

ASSAM Zorig , ,(2019), Finite Element 2D and 3D Models of a Rotor Bar Breakage in a Squirrel-Cage Induction Motor,2019 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD),Athens, Greece

Based on finite element analysis in time domain of a squirrel cage induction motor this paper studies the influence of the three faults - stator short-circuit, broken rotor bar and static eccentricity on the mean values and harmonics of the rotor unbalanced force. Results for loaded motor operation and for no-load motor operation are compared. The healthy state of motor operation and seven faulty cases, with single, double and triple faults, are considered. All faulty cases are characterized by important increase of the rotor force compared with the healthy case.

Citation

ASSAM Zorig , ,(2018), Impact of the Stator Short-circuit, Rotor Broken Bar and Eccentricity Faults on Rotor Force for Loaded and No-load Induction Motors Operation,2018 International Conference on Applied and Theoretical Electricity (ICATE),Craiova, Romania

his paper describes the use of a new approach optimization procedure to determine the design of three phase electrical motors. The novelty lies in combining a motor design program and employing a Hybrid Genetic Algorithm (HAGs) technique to obtain the maximum of objective function such as the motor efficiency. A method for evaluating the efficiency of induction motor is tested and applied on 2.2 kW experimental machines; the aforementioned is called equivalent circuit method (EC-M) and based on the analysis of the influence losses. As the equations which calculate the iron losses make call to magnetic induction. From this point, the paper proposes to evaluate the B (H) characteristic by estimating the circuit’s flux and the counting of excitation. Next, the optimal designs are analyzed by finite element method (FEM) and compared with results of another method which is genetics algorithms (GAs) optimisation …

Citation

ASSAM Zorig , , (2016), Hybrid Method Using Genetic Algorithm for Induction Motor Design Problem’’, The mediterranean Journal of Measurement and Control, The mediterranean Journal of Measurement and Control, Vol:11, Issue:4, pages:394, The mediterranean Journal of Measurement and Control

bstract—the paper presents the application of a finite element method for predicting the performance of induction motor having broken rotor bars. The detailed insight in magnetic field distribution of a squirrel cage induction motor forms the basis for further evaluation of its operational behavior. Increasing anomaly in magnetic field distribution due to the increasing number of broken rotor bars results in a degradation of steady-state and dynamic performance of induction motor and can be determined with computer simulation eliminating expensive and time consuming laboratory tests. Correct evaluation of faulty motor performance is very significant part of condition monitoring and diagnostic procedure in modern supervision systems of electrical drives

Citation

ASSAM Zorig , ,(2010), Finite Element Analysis of Broken Bars Fault in Induction Motor,6th International Conference on Electrical Engineering 11- 13 October 2010,BATNA

ABSTACT

Citation

ASSAM Zorig , ,(2010), Evaluation of Induction Motor Diagnosis by Finite Element Method Simulations,ICEEA’10 University of Bejaia,,Bejaia

Le but de cet article est de visualisé l'effet des pertes variable qui augmentent avec la charge et les pertes constantes (pertes fer) sur le comportement thermique de moteur asynchrone. La modélisation est basée sur la théorie de dissipation de puissance, de transfert de chaleur et du taux de croissance de la température au stator et au rotor, en prenant en compte l’effet de la vitesse sur les échanges. En développement des machines électriques en général, et les moteurs asynchrones en particulier, la température limite est un facteur principal affectant l'efficacité de la conception globale. Puisque le chargement conventionnel des moteurs asynchrone est souvent très chère, l'estimation de l'augmentation de la température par des outils de modèle mathématique et d'expériences informatiques devient de plus en plus importante. Ensuite on a utilisé notre model pour faire une surveillance thermique de chaque enroulement du moteur. Les résultats trouvés sont en bonne concordance avec des résultats des articles et expérimentales. Mots clés : MAS, Modélisation Thermique, Pertes fer, Transfert de Chaleur, Température Limite, Surveillance Thermique.

Citation

ASSAM Zorig , Bureau de la stratégie de numérisation , ,(2010), Modélisation et Surveillance Thermique d'une Machine Asynchrone on prend on compte les Effets no Linière,International Conference on Power Electronics and Electrical Drives,ALGERIA